Delete app.py

app.py

@@ -1,33 +0,0 @@
-# Import necessary libraries
-import streamlit as st
-import transformers
-import torch
-from transformers import pipeline
-
-# Set up the Streamlit app
-st.title("Emotion Detection with Transformers")
-
-# Create a text input widget
-user_input = st.text_area("Enter your text:")
-
-
-# Define a function for sentiment analysis using transformers
-@st.cache_data
-def load_model():
-    return pipeline("sentiment-analysis")
-
-
-# Load the sentiment analysis model
-sentiment_analyzer = load_model()
-
-# Create a button to analyze the emotion
-if st.button("Analyze Emotion"):
-    if user_input:
-        # Perform sentiment analysis on user input
-        result = sentiment_analyzer(user_input)
-
-        # Display the result
-        emotion = result[0]['label']
-        st.write(f"Emotion: {emotion}")
-    else:
-        st.warning("Please enter some text to analyze.")